AI Engineer

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About AutoCash.ai

AutoCash.ai is building an AI-powered cash management platform for CFOs and finance teams. We're redefining how mid-market companies run their finance functions — connecting directly to banks, ERPs, and payment systems to deliver real-time insights, automation, and decision intelligence.

The Role

As an AI Engineer at AutoCash.ai, you'll design, build, and deploy the machine learning and AI systems that power our cash forecasting, anomaly detection, and decision-intelligence capabilities. You'll work closely with product, data, and treasury domain experts to turn financial data — from banks, ERPs, and payment systems — into real-time, trustworthy AI-driven insights for CFOs.

What You'll Do

• Design, develop, and deploy ML/AI models for cash flow forecasting, transaction categorization, and financial anomaly detection
• Build and maintain data pipelines that ingest and normalize data from banks, ERPs, and payment systems
• Fine-tune and optimize models (including LLMs) for performance, latency, and cost in production
• Build RAG pipelines and agentic workflows that help finance teams query and act on financial data conversationally
• Integrate AI/ML models into the core platform via APIs and services
• Monitor deployed models for drift, performance degradation, and reliability, given the high accuracy bar of financial data
• Apply statistical methods to validate model performance, design experiments (A/B tests), and interpret forecasting accuracy
• Implement MLOps best practices: CI/CD for models, versioning, testing, and monitoring
• Partner with product and treasury domain experts to align model outputs with real CFO/finance-team workflows
• Help shape and scale AutoCash's India engineering hub from the ground up

What We're Looking For

Core Experience

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Mathematics, Statistics, or a related field
• 2-5 years of experience building and deploying machine learning or AI systems, ideally in fintech, SaaS, or data-intensive domains
• Strong programming skills in Python
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLMs, prompt engineering, RAG pipelines, or fine-tuning
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
• Experience working with vector databases and embedding-based retrieval systems
• Understanding of software engineering fundamentals: version control, testing, CI/CD

Other

• Strong analytical mindset with the ability to connect model output to real financial/business outcomes
• Excellent communication skills — able to explain model behavior and limitations to non-technical stakeholders (finance/treasury teams)

Preferred Qualifications

• Prior exposure to treasury, banking, or financial-data systems (TMS, ERPs, payment rails)
• Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases)
• Experience building agentic systems or tool-using AI applications
• Familiarity with time-series forecasting techniques and financial anomaly detection

Why You'll Love Working Here

• High-Growth Opportunity

  – Join an early-stage SaaS startup at a pivotal moment, with the chance to shape both the product and the company

• Global Exposure

  – Collaborate with a U.S.-based leadership team and advisors with deep experience in treasury, SaaS, and AI
• Work directly with founders and shape the core AI product
• Opportunity to build and scale AutoCash's India engineering hub from the ground up

Compensation & Benefits

• Competitive salary and benefits package
• Work directly with the founders
• High ownership role in an early-stage, high-growth environment

How to apply:

Link - https://forms.gle/vZZHG656JjQogNZr5